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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms
Philip Shine, Michael D. Murphy, John Upton, et al.
Computers and Electronics in Agriculture (2018) Vol. 150, pp. 74-87
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 526
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho
Applied Soft Computing (2019) Vol. 86, pp. 105837-105837
Closed Access | Times Cited: 438
AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
Yassine Himeur, Mariam Elnour, Fodil Fadli, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 6, pp. 4929-5021
Open Access | Times Cited: 281
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
Nan Wei, Changjun Li, Xiaomei Peng, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106187-106187
Closed Access | Times Cited: 207
A survey on smart farming data, applications and techniques
Sandya De Alwis, Ziwei Hou, Yishuo Zhang, et al.
Computers in Industry (2022) Vol. 138, pp. 103624-103624
Closed Access | Times Cited: 101
Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need
Mukhtar Ahmed, Rifat Hayat, Munir Ahmad, et al.
International Journal of Plant Production (2022) Vol. 16, Iss. 3, pp. 341-363
Open Access | Times Cited: 78
Precision livestock farming: an overview on the application in extensive systems
Gloria Bernabucci, Chiara Evangelista, Pedro Girotti, et al.
Italian Journal of Animal Science (2025) Vol. 24, Iss. 1, pp. 859-884
Open Access | Times Cited: 2
Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms
M. S., R. Bhargavi
Applied Artificial Intelligence (2019) Vol. 33, Iss. 7, pp. 621-642
Closed Access | Times Cited: 129
A Prediction Methodology of Energy Consumption Based on Deep Extreme Learning Machine and Comparative Analysis in Residential Buildings
Muhammad Fayaz, Do‐Hyeun Kim
Electronics (2018) Vol. 7, Iss. 10, pp. 222-222
Open Access | Times Cited: 115
Review: Application and Prospective Discussion of Machine Learning for the Management of Dairy Farms
Marianne Cockburn
Animals (2020) Vol. 10, Iss. 9, pp. 1690-1690
Open Access | Times Cited: 92
Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis
Sobhan Sarkar, J. Maiti
Safety Science (2020) Vol. 131, pp. 104900-104900
Closed Access | Times Cited: 77
Leveraging Blockchain to Tackle Food Fraud: Innovations and Obstacles
Keru Duan, Helen Onyeaka, Gu Pang
Journal of Agriculture and Food Research (2024), pp. 101429-101429
Open Access | Times Cited: 10
An evaluation of statistical, NMME and hybrid models for drought prediction in China
Lei Xu, Nengcheng Chen, Xiang Zhang, et al.
Journal of Hydrology (2018) Vol. 566, pp. 235-249
Open Access | Times Cited: 81
Electrical load prediction of healthcare buildings through single and ensemble learning
Lingyan Cao, Yongkui Li, Jiansong Zhang, et al.
Energy Reports (2020) Vol. 6, pp. 2751-2767
Open Access | Times Cited: 66
Energy Consumption on Dairy Farms: A Review of Monitoring, Prediction Modelling, and Analyses
Philip Shine, John Upton, Paria Sefeedpari, et al.
Energies (2020) Vol. 13, Iss. 5, pp. 1288-1288
Open Access | Times Cited: 64
Residential load forecasting using wavelet and collaborative representation transforms
Maryam Imani, Hassan Ghassemian
Applied Energy (2019) Vol. 253, pp. 113505-113505
Closed Access | Times Cited: 61
IoT-Agro: A smart farming system to Colombian coffee farms
Jhonn Pablo Rodríguez, Ana Isabel Montoya‐Munoz, Carlos Rodriguez-Pabon, et al.
Computers and Electronics in Agriculture (2021) Vol. 190, pp. 106442-106442
Closed Access | Times Cited: 42
An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning
S. M. Taslim Uddin Raju, Amlan Sarker, Apurba Das, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 32
Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine
Philip Shine, Ted Scully, John Upton, et al.
Applied Energy (2019) Vol. 250, pp. 1110-1119
Open Access | Times Cited: 52
Application of NARX neural network for predicting marine engine performance parameters
Yiannis Raptodimos, Iraklis Lazakis
Ships and Offshore Structures (2019) Vol. 15, Iss. 4, pp. 443-452
Open Access | Times Cited: 50
Comparison of forecast models of production of dairy cows combining animal and diet parameters
Thong Nguyen, Rémy Fouchereau, Emmanuel Frénod, et al.
Computers and Electronics in Agriculture (2020) Vol. 170, pp. 105258-105258
Open Access | Times Cited: 43
Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study
Philip Shine, Michael D. Murphy
Sensors (2021) Vol. 22, Iss. 1, pp. 52-52
Open Access | Times Cited: 35
Global Dairy Sector: Trends, Prospects, and Challenges
Rajeev Bhat, Jorgelina Di Pasquale, Ferenc Istvan Bánkuti, et al.
Sustainability (2022) Vol. 14, Iss. 7, pp. 4193-4193
Open Access | Times Cited: 26
Forecasting drinking milk price based on economic, social, and environmental factors using machine learning algorithms
Abdülkadir Atalan
Agribusiness (2022) Vol. 39, Iss. 1, pp. 214-241
Closed Access | Times Cited: 24
Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive Framework
Toqeer Ali Syed, Muhammad S. Khan, Salman Jan, et al.
AI (2024) Vol. 5, Iss. 4, pp. 1977-2017
Open Access | Times Cited: 5
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